scholarly journals Daily School Physical Activity Is Associated with Higher Level of Physical Activity Independently of Other Socioecological Factors

Sports ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 105
Author(s):  
Amanda Lahti ◽  
Björn Rosengren ◽  
Jan-Åke Nilsson ◽  
Magnus Dencker ◽  
Magnus Karlsson
Keyword(s):  
Physical Activity ◽  
Screen Time ◽  
Body Height ◽  
Analysis Of Covariance ◽  
Parental Attitude ◽  
Physically Active ◽  
Time Activity ◽  
Relative Age ◽  
Parental Educational Level ◽  
Objectively Measured

Only one fifth of children aged 11–17 years are physically active for 60 min (min)/day. As physical activity (PA) levels track from childhood to adulthood, it is important to establish healthy PA behavior early in life. This study aims to evaluate whether daily school PA is associated with objectively measured PA independently of other socioecological factors. This study includes 209 children (120 boys) aged 9.8 ± 0.6 (mean ± SD) years from four government-funded schools in Sweden. One school including 113 children (70 boys) had 40 min of daily school PA (intervention) and three schools including 96 children (50 boys) had 60 min of school PA/week (control). PA was measured during four serial days with accelerometers. General PA (GPA) was defined as mean counts per minute (cpm). Socioecological factors were collected by questionnaires, and anthropometric traits by measurements. Analysis of covariance (ANCOVA) was used to test whether sex, age, relative age, body height, fat mass, lean mass, screen time activity, parental educational level, parental attitude towards PA, parental PA, sibling(s)’ PA, living in a house or apartment, and whether the child was allocated to 40 min daily school PA or 60 min school PA/week, was independently associated with GPA. Daily GPA was found to be 686.9 ± 211.9 cpm. Independently of the other included factors, daily school PA was associated with +81.8 (15.7, 147.8) cpm compared with 60 min PA/week. This study infers that daily school PA is an appropriate strategy to promote PA in 10-year-old children, independently of different socioecological factors.

scholarly journals COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1596
Author(s):  
Aleksandra Kołota ◽  
Dominika Głąbska
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
Screen Time ◽  
Fast Food ◽  
Population Based ◽  
Polish Population ◽  
Remote Education ◽  
Physically Active ◽  
Validated Questionnaire ◽  
Diet And Physical Activity

The Coronavirus-19 disease (COVID-19) pandemic has influenced the nutrition of individuals, including the diet followed, food availability, and food security. However, thus far, only a few studies have been published regarding the diet and activity of children and adolescents. The aim of the present study was to analyze the influence of the COVID-19 pandemic and remote education in this period on the diet and physical activity in a Polish population-based sample of primary school adolescents. In June 2020, the Diet and Activity of Youth during COVID-19 (DAY-19) Study was conducted on a population recruited based on stratified random sampling from all regions (schools sampled from counties, and counties from voivodeships). The sample consisted of a total of 1334 adolescents aged 10–16 years. The study assessed the diet and physical activity of the participants using a validated questionnaire which included questions about the period of remote education and the period before the COVID-19 pandemic. The participants were asked about the following: consumption of fruit, vegetables, soft drinks, water, French fries, and fast food; eating meals in front of the television; and the number of days they are physically active and the number of hours they spend watching television. The obtained data were analyzed by stratifying the respondents by the gender, age, size of the city and total COVID-19 morbidity in the voivodeship. It was observed that, during the pandemic and the resultant remote education, the proportion of respondents who declared the recommended intake of fruits and vegetables had increased compared to that before the pandemic—a higher proportion consumed at least three portions of fruit per day (19.0% before pandemic vs. 27.4% during pandemic; p < 0.0001), as well as three and four or more portions of vegetables per day (11.9% vs. 14.5% and 7.5% vs. 11.1%; p = 0.0004). At the same time, the proportion of respondents consuming at least three cups of water per day had increased (41.1% vs. 47.9%; p = 0.0020), whereas the proportion of respondents who never or rarely eat their meals in front of the television had decreased (35.6% vs. 28.9%; p < 0.0001), and the proportion watching television for more than 2 h a day had increased (78.3% vs. 88.4%; p < 0.0001). Based on the results, it may be concluded that, during the period of remote education due to the COVID-19 pandemic, the dietary behaviors of the studied population of Polish adolescents were more beneficial, which included a higher intake of fruit, vegetables, and water, compared to before the pandemic. In spite of the increasing screen time, including eating in front of the television, there was no reduction in the number of days the respondents were physically active.

scholarly journals Psychometric properties of instruments to measure parenting practices and children’s movement behaviors in low-income families from Brazil

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Widjane Sheila Ferreira Goncalves ◽  
Rebecca Byrne ◽  
Pedro Israel Cabral de Lira ◽  
Marcelo Tavares Viana ◽  
Stewart G. Trost
Keyword(s):  
Physical Activity ◽  
Internal Consistency ◽  
Screen Time ◽  
Parenting Practices ◽  
Concurrent Validity ◽  
Retest Reliability ◽  
Culturally Adapted ◽  
Total Movement ◽  
Objectively Measured ◽  
Test Retest Reliability

Abstract Background Childhood obesity has increased remarkably in low and middle-income (LMIC) countries. Movement behaviors (physical activity, screen time, and sleep) are crucial in the development of overweight and obesity in young children. Yet, few studies have investigated the relationship between children’s movement behaviors and parenting practices because validated measures for use among families from LMIC are lacking. This study evaluated the psychometric properties of previously validated measures of young children’s physical activity, screen time, and sleep and parenting practices, translated and culturally adapted to Brazilian families. Methods A total of 78 parent-child dyads completed an interviewer-administered survey twice within 7 days. Child physical activity, sedentary time and sleep were concurrently measured using a wrist-worn accelerometer. Internal consistency and test-retest reliability was assessed using McDonald’s Omega and Intraclass Correlation Coefficients (ICC’s). Concurrent validity was evaluated by calculating Spearman correlations between parent reported child behaviors and accelerometer measured behaviors. Results Seventeen of the 19 parenting practices scales exhibited acceptable internal consistency reliability (Ω ≥ 0.70). Test-retest reliability ICC’s were acceptable and ranged from 0.82 - 0.99. Parent reported child physical activity was positively correlated with objectively measured total movement (rho= 0.29 - 0.46, p < .05) and energetic play (rho= 0.29 – 0.40, p < .05). Parent reported child screen time was positively correlated with objectively measured sedentary time; (rho = 0.26, p < .05), and inversely correlated with total movement (rho = - 0.39 – - 0.41, p < .05) and energetic play (rho = - 0.37 – - 0.41, p < .05). Parent reported night-time sleep duration was significantly correlated with accelerometer measured sleep duration on weekdays (rho = 0.29, p < .05), but not weekends. Conclusions Measurement tools to assess children’s movement behaviors and parenting practices, translated and culturally adapted for use in Brazilian families, exhibited acceptable evidence of concurrent validity, internal consistency, and test-retest reliability.

scholarly journals Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study

2018 ◽  
Vol 15 (10) ◽  
pp. 2171 ◽  
Author(s):  
Marieke De Craemer ◽  
Duncan McGregor ◽  
Odysseas Androutsos ◽  
Yannis Manios ◽  
Greet Cardon
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
School Children ◽  
Screen Time ◽  
Complete Data ◽  
Total Physical Activity ◽  
Movement Behaviour ◽  
Objectively Measured

The 24-h day—containing physical activity, sedentary behaviour and sleep—in pre-school children has not yet been extensively investigated. The aim of the current study was to investigate pre-schoolers’ compliance with the 24-h movement behaviour guidelines (i.e., three hours/day total physical activity, a maximum of one hour/day of screen time and 10–13 h sleep/night). In total, 595 pre-schoolers (53.3% boys, mean age: 4.2 years) provided complete data for the three behaviours. Physical activity was objectively measured with accelerometers, while screen time and sleep were parent-reported through questionnaires. The proportion of pre-schoolers complying with the 24-h movement behaviour guidelines was calculated on weekdays and on weekend days. Low compliance rates were found: 10.1% on weekdays and only 4.3% on weekend days. The majority of pre-schoolers complied with the sleep duration guidelines (>90% on weekdays and weekend days), followed by the screen time guidelines (61% on weekdays and 28% on weekend days). The lowest compliance rates were found for physical activity (<20% on weekdays and weekend days). Overall, low percentages of pre-schoolers complying with the 24-h movement behaviour guidelines were found, and the lowest compliance was found for physical activity.

Association Between Accelerometer-Measured Physical Activity Intensities and Sedentary Time in 8- to 10-Year-Old Children

2014 ◽  
Vol 26 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Katya M. Herman ◽  
Gilles Paradis ◽  
Marie-Eve Mathieu ◽  
Jennifer O’Loughlin ◽  
Angelo Tremblay ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Linear Regression ◽  
Video Game ◽  
Screen Time ◽  
Sedentary Time ◽  
Objectively Measured ◽  
Public Health Strategies ◽  
Objectively Measured Physical Activity ◽  
Daily Total

This study examines the association between objectively-measured physical activity (PA) intensities and sedentary behavior (SED) in a cohort of 532 children aged 8–10 y. PA and SED were assessed by accelerometer over 7-days. Television and computer/video-game use were self-reported. Associations between PA intensities and SED variables were assessed by Spearman correlations and adjusted multiple linear regression. Higher mean daily moderate-to-vigorous and vigorous PA (MVPA, VPA) were negatively associated with mean daily SED (r = −0.47 and −0.37; p < .001), and positively associated with mean daily total PA (r = .58 and 0.46; p < .001). MVPA was also positively associated with light PA (LPA; r = .26, p < .00l). MVPA and VPA were not significantly associated with TV, computer/video or total screen time; accelerometer SED was only weakly associated with specific SED behaviors. On average, for each additional 10 min daily MVPA, children accumulated >14 min less SED, and for each additional 5 min VPA, 11 min less SED. Thus, over the course of a week, higher mean daily MVPA may displace SED time and is associated with higher total PA over and above the additional MVPA, due to concomitant higher levels of LPA. Public health strategies should target both MVPA and SED to improve overall PA and health in children.

scholarly journals Objectively Measured Physical Activity In Children Aged From 5 To 8 Years / Objektivno Izmerjena Gibalna Aktivnost Od Pet- Do Osemletnih Otrok

2013 ◽  
Vol 52 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Tadeja Volmut ◽  
Rado Pišot ◽  
Boštjan Šimunič
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
World Population ◽  
Older Children ◽  
Physically Active ◽  
Physical Activity Interventions ◽  
Early Afternoon ◽  
Time Periods ◽  
And Gender ◽  
Objectively Measured

AbstractObjective:Today, a majority of the world population is dealing with physical inactivity and related health problems.Moreover, while various interventions are being adopted to increase children’s physical activity, these are mostly lessoreven un-successful. One of the possible reasons for this could be the wrong timing for their instalment. Therefore,the purpose of our study is to analyse between-day and within-day physical activity in 5- to 8-year old children.Methods:Using accelerometers we monitored 97 Slovenian children (49 males) for five consecutive days.Results:We found that 5- to 8- year old Slovenian children are physically active on average between 689 and795 counts per minute, with age and gender significant factors, however both with low effect size. The averagedata was in line with the trends of the world’s population. Time spent in moderate-to-vigorous physical activity wasnever measured in 5- to 8- year old children and we found it to be significantly longer than in slightly older children.Furthermore, we have defined the time periods with the lowest physical activity, which is in the morning, after thebreakfast. Additionally, there are some age differences, with 5-year olds being most active before lunch but lessphysically active in the early afternoon.Conclusions:In conclusion we have to emphasize and implicate to next generation studies to indicate time periodswith the lowest physical activity and to promote physical activity interventions in those periods to achieve the greatestimpact.

scholarly journals Quality of process impacts fourth grade students’ participation in physically active academic lessons

2020 ◽  
Author(s):  
Vanessa L. Errisuriz ◽  
Erin E. Dooley ◽  
Katie G. Buford ◽  
Ashleigh M. Johnson ◽  
Esbelle M. Jowers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Analysis Of Covariance ◽  
Teacher Feedback ◽  
Teacher Engagement ◽  
Technical Instruction ◽  
Physically Active ◽  
Activity Intensity ◽  
School Based

Abstract Background It is important to assess implementation of active learning interventions to maximize their impact. Quality of process, or how well one engages program participants, has been less studied than other implementation components (e.g., dose, fidelity). This cross-sectional study examined associations between teacher engagement behaviors, teacher feedback, and student physical activity outcomes during active classroom lessons.Methods This study used data from the Texas Initiatives for Children’s Activity and Nutrition (I-CAN!) randomized controlled trial. Multivariate analysis of covariance was conducted to compare student physical activity outcomes by teachers’ engagement behaviors. Bivariate correlations were conducted to examine associations between teacher feedback and student physical activity outcomes. A latent profile analysis was used to examine whether there were subsets of teachers with similar feedback profiles.Results The final analytic sample included 82 teachers (N = 100 observations). Teacher-directed changes in physical activity and/or teacher participation in physical activity demonstrated significantly higher ratings for student physical activity intensity, class participation, and how often children were active (all p < .05). Physical Activity Reinforcement and Technical Instruction feedback were positively associated with activity intensity (r=-.20, p < .05 and r = .33, p < .01, respectively). Technical Instruction feedback was positively associated with how many (r = .31, p < .01) and how often (r = .44, p < .01) students were active during lessons. Negative feedback was negatively associated with how many (r=-.20, p < .05) and how often (r=-.28, p < .01) students were active, as well as activity intensity (r=-.27, p < .01). All teachers were represented by relatively high levels of Game Instruction and Classroom Management feedback, moderate levels of Content Reinforcement and Content Instruction feedback, and low levels of Negative, Technical Instruction, and Physical Activity Reinforcement feedback. These data did not indicate the existence of multiple feedback profiles.Conclusions These findings suggest that teacher engagement and feedback to students during physically active, academic lessons can help promote student engagement in physical activity. Teachers have primary responsibility for implementing school-based interventions, and it is critical to develop strategies that increase teachers’ ability to implement them successfully. Opportunities to maximize intervention delivery, such as co-designing with teachers, should be utilized in school-based, physical activity interventions.

scholarly journals 513Ophthalmic disease and older adults’ sedentary and physically-active behaviors: Findings from the NEIGE study

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Shiho Amagasa ◽  
Shigeru Inoue ◽  
Hiroshi Murayama ◽  
Takeo Fujiwara ◽  
Hiroyuki Kikuchi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Living Arrangement ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Community Dwelling ◽  
Analysis Of Covariance ◽  
Cross Sectional ◽  
Physically Active ◽  
Reciprocal Influences

Abstract Background Physical inactivity can be associated adversely with markers of eye health, but little is known about how ophthalmic disease (OD) may be related to sedentary behaviour (SB) and different intensities of physical activity in older adults. We compared device-assessed time spent in SB, light-intensity PA (LPA), and moderate-to-vigorous physical activity (MVPA) between older adults with and without OD. Methods A randomly-recruited sample of 512 community-dwelling older adults (47% male; aged 65–84 years) in Japan wore a valid tri-axial accelerometer for seven consecutive days in 2017. Prevalence of OD was assessed by medical interview. Times spent in SB, LPA, and MVPA were compared between those with and without OD by compositional multivariate analysis of covariance, adjusting for potential confounders (gender, age, residential area, living arrangement, working, body mass index, self-rated health, and cognitive function). Results Overall, percent times spent in SB, LPA, and MVPA during waking hours were 51.0, 44.6, and 4.4, respectively; and, 167 (36.5%) had OD. Activity patterns differed significantly between those with and without OD: in those with OD, the proportion of time spent in MVPA relative to other behaviours was lower, and the proportion of time spent in SB relative to other behaviours was higher. Conclusions Older adults with OD were found to be less physically active than those without. Key messages While these cross-sectional findings need to be confirmed by evidence from prospective studies, the reciprocal influences of OD and inactivity in older adults should be addressed as scientific, clinical and public health considerations.

One-year stability of physical education-centered physical literacy indicators on objectively measured physical activity

2021 ◽  
pp. 1356336X2110463
Author(s):  
Sami Yli-Piipari ◽  
Arto Gråstén ◽  
Mikko Huhtiniemi ◽  
Kasper Salin ◽  
Timo Jaakkola
Keyword(s):  
Physical Activity ◽  
Elementary School ◽  
Physical Education ◽  
Motor Coordination ◽  
Physical Literacy ◽  
School Students ◽  
Physically Active ◽  
Upper Elementary School ◽  
And Gender ◽  
Objectively Measured

One of the central goals of school physical education (PE) is to improve physical literacy in youth to nurture their ability, confidence, and desire to be physically active for life. The aim of this study was to examine the stability of the selected PE-centered physical literacy indicators on school students’ objectively measured moderate-to-vigorous intensity physical activity (MVPA). This study was a follow-up study tracking a sample of 450 Finnish children ( M  =  11.26[0.32]; nfemales  =  194; nmales   =  256) across upper elementary school from fifth (T1) to sixth (T2) grade. A set of independent variables (motor competence, health-related fitness, in-class PE MVPA, and PE motivation and enjoyment) and total MVPA as a dependent variable were collected, and gender and body mass index were controlled in the analyses. The entire model explained almost 29% of MVPA in T1 and 26% in T2. While cardiorespiratory endurance (β  =  0.29) and MVPA in PE (β  =  0.20) were statistically significant predictors of MVPA in T1, MVPA in PE (β  =  0.23), and identified regulation (β  =  0.16) were statistically significant predictors at T2. Across the time, boys had higher levels of MVPA compared to girls (T1: β  =  −0.12; T2: β  =  −0.14), whereas the relationship was inverted in motor coordination (T1: β  =  0.13; T2: β  =  0.12). The findings of this study suggest that MVPA in PE is an important contributor to children's MVPA, and its role is eminent during the last two grades of elementary school.

Abstract P284: ClusterAnalysis of Objectively Measured Physical Activity Patterns in Women in the mPEDTrial

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Mo Zhou ◽  
Eric Vittinghoff ◽  
William Haskell ◽  
Ken Goldberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Specific Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Metabolic Equivalent ◽  
Number Of Clusters ◽  
Physically Active ◽  
Physical Activity Guidelines ◽  
Physical Activity Interventions ◽  
Objectively Measured

Background: Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or physical activity guidelines in general, and in particular for women, who are less likely to be physically active than men. Objective: The aims of this report are to identify clusters of women based on accelerometer measured raw metabolic equivalent values (METs) and a normalized version of the METs ≥ 3 data and to compare sociodemographic and cardio metabolic risks among these identified clusters. Methods: 215 women wearing an accelerometer for at least 8 hours per day for the last 7 days prior to the randomization visit were analyzed. A K-means clustering method, the Lloyd’s algorithm, was used. To choose the number of clusters, we used the elbow method, looking at the percentage of variance explained as a function of the number of clusters. Results: The results of k means cluster analyses of raw METs revealed three different clusters (Figure 1) and the Low Active Group (n=102) had the highest depressive symptoms score compared to the Afternoon Active (n=65) and Morning Active (n=48) groups (overall P < .001). Based on a normalized version of the METs ≥ 3 data Figure 2), the moderate to vigorous physical activity (MVPA) Evening Peak group (n = 108) had higher BMI, and waist and hip circumference than the MVPA Noon Peak group (n=61) (overall P =.03, .02, and .03 respectively). Conclusions: Categorizing physical inactive individuals into more specific activity patterns could aid in creating timing, frequency, duration, and intensity of physical activity interventions for women. Further research is needed to confirm these cluster groups using a large national dataset.

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